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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 6496
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    Explanations

    keywords related to coding, such as variables, functions, and data structures

    oai_token-act-pair · gpt-3.5-turbo

    indicators related to data processing and error handling in programming contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asus
    -0.80
    ussen
    -0.75
     whistlebl
    -0.73
    clerosis
    -0.71
    anship
    -0.70
     Whedon
    -0.70
    Nation
    -0.69
    idelines
    -0.69
    ousy
    -0.68
    aeda
    -0.67
    POSITIVE LOGITS
     integer
    1.09
     integers
    1.08
     iterator
    1.00
     byte
    0.98
     tuple
    0.96
     value
    0.96
     pointer
    0.95
     bytes
    0.94
     node
    0.93
     \(
    0.93
    Activations Density 0.392%

    No Known Activations